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In this video from Berklee Online’s AI for Music and Audio course—authored by Dr. Carlos Arana—we hear from special guest Enrique Gonzalez Müller, who discusses his overall views on AI-based mixing tools and explains how their usefulness can vary, depending on the stage of your career.
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ABOUT CARLOS ARANA:
Dr. Carlos Arana is a guitarist, producer, and researcher. His specialties range from Latin American rhythms to the application of machine learning and artificial intelligence techniques for music. As a guitarist, arranger, and musical director he has worked and recorded with artists from all over the world, including legendary Bossa Nova singer Maria Creuza, whose band he was a member of. He has edited a number of books for Hal Leonard and Warner Bros. Publications (Alfred Publications), and for his studies and research on machine learning and AI he has been invited as a speaker in congresses and seminars at some of the most prestigious technology universities, such as MIT and UC Berkeley. Dr. Arana earned his PhD from University of Buenos Aires (UBA-UNLZ) in 2022.
ABOUT ENRIQUE GONZALEZ MÜLLER:
After graduating from Berklee College of Music in 1999, Enrique Gonzalez Müller started his career as a music producer and engineer at the Plant Studios, working with artists like The Dave Matthews Band, Joe Satriani, Joan Baez and Les Claypool. In his home country of Venezuela, he’s produced many chart-topping albums for Caramelos de Cianuro, Viniloversus, Desorden Publico and in 2009 his collaboration with Los Amigos Invisibles won the band a Latin Grammy Award for their album Commercial. In Italy, among many collaborations, Gonzalez Müller has produced, arranged and mixed albums for L’Aura and scored a #1 hit with “Teach Me Again” from Elisa and Tina Turner. In the US, he has recently worked with Jason Newsted (former Metallica), the Kronos Quartet, Nine Inch Nails and toured with Wynton Marsalis as well as many up and coming artists. In 2015, Enrique was the recipient of Berklee’s Distinguished Faculty Award for his innovative work as an educator.
About Berklee Online:
Founded in 2002, Berklee Online is the premier innovator and largest provider of worldwide music education, offering the renowned curriculum of Berklee College of Music at a fraction of the cost through award-winning programming and instruction. Contact an Academic Advisor today:
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AI for Music and Audio | Artificial Intelligence | Transcription | Hal Leonard Publishing | Enrique Gonzalez Müller | Dave Matthews Band | Joe Satriani | Joan Baez | Les Claypool | Caramelos de Cianuro | Los Amigos Invisibles | Dr. Carlos Arana | Maria Creuza | University of Buenos Aires
source
date: 2024-07-29 19:59:47
duration: 00:07:26
author: UCbdhEtUEo9x-sNNOpAe3cMQ
Artificial Intelligence for Music & Audio: The Need for the Human Touch in AI-Based Mixing Tools
Enrique Gonzalez Müller, a music producer, engineer, mixer, and faculty member at Berklee College of Music, shares his thoughts on AI-based mixing tools in the music industry. While acknowledging the potential benefits of these tools, he emphasizes the importance of human creativity and judgment in the mixing process.
For professional mixers, AI-based tools can serve as a creative sparring partner, providing ideas and sparking inspiration. However, even experienced mixers should not rely solely on AI and should maintain control over the creative process. For intermediate mixers, AI can be a useful companion, helping to kick-start conversations and provide new ideas. However, they should be aware of the limitations of AI and continue to develop their own skills and expertise.
The greatest risk with AI-based mixing tools lies with beginners, who may lack a clear objective or vision for their music. Without a clear direction, they may settle for the first solution provided by the AI, rather than exploring and developing their own unique sound. Müller advises beginners to use AI as a starting point, but to also have a clear objective in mind and to be willing to experiment and adapt.
Ultimately, AI-based mixing tools should be used as a tool to enhance human creativity, rather than replace it. By acknowledging the limitations of AI and maintaining a human touch in the mixing process, artists and producers can create unique and innovative music that is both technically proficient and emotionally resonant.
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